defaultParametersFuzzy {CNORfuzzy} | R Documentation |
Parameters are required at different levels in the Fuzzy optimisation. This function provides a list with all parameters that are necessary.
defaultParametersFuzzy(data=NA, model=NA, nTF=7)
data |
the CNOlist that contains the data that you will use |
model |
the model that you want to optimise |
nTF |
number of discrete values to be used for each transfer function parameter. |
The list contains 3 types of parameters:
Fuzzy parameters (e.g, Type1Funs, Type2Funs, RedThresh, DoRefinement)
GA parameters similar to those used in CellNOptR package (see gaDiscreteT1 or defaultParametersFuzzy
optimisation parameters related to the refinement step.
algorithm='NLOPT_LN_SBPLX'
xtol_abs=0.001
maxEval=1000
maxTime=5*60
In addition, you can set Model and Data (CNOlist).
params |
a list of default parameters. |
T. Cokelaer
data(ToyModel,package="CellNOptR") data(CNOlistToy,package="CellNOptR") params = defaultParametersFuzzy(CNOlistToy, ToyModel)